Color Contrast: A Biological Model and its Application for Real Images

Hedva Spitzer; Eilon Sherman

Color Contrast: A Biological Model and its Application for Real Images

Hedva Spitzer^*, Eilon Sherman

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

6 Scopus citations

Abstract

A novel biological model for color contrast is presented. An additional goal of the model was to achieve automatic color correction of still and video images. The model predicts human visual performance according to the physiology of the first and second order of the color-coded cells in visual system. It is based on the properties of retinal ganglion cells (opponent cells) and cortical cells (double opponent cells) as well as on chromatic adaptation mechanisms in these double opponent color-coded cells: remote chromatic adaptation. The simulations calculated the perceived image for still images, and were performed in order to correct image colors. The results indicate that the contribution of adaptation mechanisms to color contrast is significant, robust, and enables color correction of still images.

Original language	English
Title of host publication	European Conference on Colour in Graphics, Imaging and Vision (CGIV)
Pages	27-32
Number of pages	6
State	Published - 2002
Externally published	Yes
Event	Final Programme and Proceedings; First European Conference on Colour in Graphics, Imaging and Vision (CGIV'2002) - Poitiers, France Duration: 2 Apr 2002 → 5 Apr 2002

Publication series

Name	European Conference on Colour in Graphics, Imaging and Vision (CGIV)

Conference

Conference	Final Programme and Proceedings; First European Conference on Colour in Graphics, Imaging and Vision (CGIV'2002)
Country/Territory	France
City	Poitiers
Period	2/04/02 → 5/04/02

Cite this

@inproceedings{2402018ab739461cb6b5a4cad4418fb2,

title = "Color Contrast: A Biological Model and its Application for Real Images",

abstract = "A novel biological model for color contrast is presented. An additional goal of the model was to achieve automatic color correction of still and video images. The model predicts human visual performance according to the physiology of the first and second order of the color-coded cells in visual system. It is based on the properties of retinal ganglion cells (opponent cells) and cortical cells (double opponent cells) as well as on chromatic adaptation mechanisms in these double opponent color-coded cells: remote chromatic adaptation. The simulations calculated the perceived image for still images, and were performed in order to correct image colors. The results indicate that the contribution of adaptation mechanisms to color contrast is significant, robust, and enables color correction of still images.",

author = "Hedva Spitzer and Eilon Sherman",

year = "2002",

language = "אנגלית",

isbn = "0892082399",

series = "European Conference on Colour in Graphics, Imaging and Vision (CGIV)",

pages = "27--32",

booktitle = "European Conference on Colour in Graphics, Imaging and Vision (CGIV)",

note = "Final Programme and Proceedings; First European Conference on Colour in Graphics, Imaging and Vision (CGIV'2002) ; Conference date: 02-04-2002 Through 05-04-2002",

}

Spitzer, H & Sherman, E 2002, Color Contrast: A Biological Model and its Application for Real Images. in European Conference on Colour in Graphics, Imaging and Vision (CGIV). European Conference on Colour in Graphics, Imaging and Vision (CGIV), pp. 27-32, Final Programme and Proceedings; First European Conference on Colour in Graphics, Imaging and Vision (CGIV'2002), Poitiers, France, 2/04/02.

TY - GEN

T1 - Color Contrast

T2 - Final Programme and Proceedings; First European Conference on Colour in Graphics, Imaging and Vision (CGIV'2002)

AU - Spitzer, Hedva

AU - Sherman, Eilon

PY - 2002

Y1 - 2002

N2 - A novel biological model for color contrast is presented. An additional goal of the model was to achieve automatic color correction of still and video images. The model predicts human visual performance according to the physiology of the first and second order of the color-coded cells in visual system. It is based on the properties of retinal ganglion cells (opponent cells) and cortical cells (double opponent cells) as well as on chromatic adaptation mechanisms in these double opponent color-coded cells: remote chromatic adaptation. The simulations calculated the perceived image for still images, and were performed in order to correct image colors. The results indicate that the contribution of adaptation mechanisms to color contrast is significant, robust, and enables color correction of still images.

AB - A novel biological model for color contrast is presented. An additional goal of the model was to achieve automatic color correction of still and video images. The model predicts human visual performance according to the physiology of the first and second order of the color-coded cells in visual system. It is based on the properties of retinal ganglion cells (opponent cells) and cortical cells (double opponent cells) as well as on chromatic adaptation mechanisms in these double opponent color-coded cells: remote chromatic adaptation. The simulations calculated the perceived image for still images, and were performed in order to correct image colors. The results indicate that the contribution of adaptation mechanisms to color contrast is significant, robust, and enables color correction of still images.

UR - http://www.scopus.com/inward/record.url?scp=0141987539&partnerID=8YFLogxK

M3 - ???researchoutput.researchoutputtypes.contributiontobookanthology.conference???

AN - SCOPUS:0141987539

SN - 0892082399

T3 - European Conference on Colour in Graphics, Imaging and Vision (CGIV)

SP - 27

EP - 32

BT - European Conference on Colour in Graphics, Imaging and Vision (CGIV)

Y2 - 2 April 2002 through 5 April 2002

ER -

Color Contrast: A Biological Model and its Application for Real Images

Abstract

Publication series

Conference

Other files and links

Fingerprint

Cite this